Yingqian Zhang
9 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Gold
🗺️
Taxonomy Completionist
(18)
🚀
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(5)
Mathematics & Optimization
(5)
Optimization
(5)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Reinforcement Learning
(4)
Architectures
(4)
Core AI
(4)
Methods
(4)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Data Science & Analytics
(1)
Application Areas
(1)
Applications
(1)
Keywords
combinatorial optimization
(4)
deep reinforcement learning
(3)
graph neural network
(2)
attention mechanism
(2)
reinforcement learning
(2)
vehicle routing problem
(2)
state representation
(1)
integer programming
(1)
integer linear programming
(1)
state aggregation
(1)
online algorithm
(1)
traveling salesman problem
(1)
neural combinatorial optimization
(1)
decision tree
(1)
collaborative robot
(1)
retrieval-augmented generation
(1)
knapsack problem
(1)
program generation
(1)
constraint decomposition
(1)
local search
(1)
Papers
Contrastive Masked Video Modeling for Coronary Angiography Diagnosis
MICCAI 2025
DRoC: Elevating Large Language Models for Complex Vehicle Routing via Decomposed Retrieval of Constraints
ICLR 2025
Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization
ICML 2025
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems
AAAI 2025
Cross-Problem Learning for Solving Vehicle Routing Problems
IJCAI 2024
Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking
ACML 2023
A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning
ACML 2020
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning
ACML 2020
Learning Optimal Classification Trees Using a Binary Linear Program Formulation
AAAI 2019